How Wantable used Angler AI to acquire high value new customers

Wantable worked with Angler to acquire high value new signups, reduce cost per new paid customer and recorded higher repeat purchase as well as retention rates

20%
reduction in new customer acquisition cost
15%+
increase in visibility of previously unattributed orders
7%
higher repeat purchase and retention rates

About the Brand

Wantable is a try-before-you-buy online retailer. Personal stylists create one-of-a-kind relationships with customers to fuel their confidence with looks geared to their unique tastes, needs and wants.

Powered by innovative algorithms and curated with expert care, the Wantable experience combines the best of technology and experienced hands-on styling. It’s an art and a science.

Goal

Wantable provides customers with a personal styling service for a small fee, allowing them to try on curated looks and only pay for what they choose to keep, returning any items that don’t fit their style. The challenge for Wantable was to attract new signups for their personal styling service, with a focus on converting these signups into repeat paying customers with high lifetime value. However, due to the nature of their business model, the first order from a new customer isn’t finalized until three weeks after the initial signup, which poses a challenge in accurately measuring the quality of these signups.

Initially, Wantable optimized their paid marketing budget on Meta and Google Ads by focusing on the cost per new signup, without fully considering the quality and long-term value of these customers. Recognizing the need for a more refined approach, Wantable partnered with Angler AI in June 2022 to address the following goals:

  • Enhance cost efficiency: Improve the cost per new paying customer across all campaigns on Meta and Google Ads.
  • Measure and analyze future value: Evaluate the 90-day predicted lifetime value (pLTV) of all signups and use Meta Ads Manager to analyze the campaigns, ad sets, and creatives that are driving high-value signups.
  • Build confidence in Meta Ads Manager reporting: Align Meta reported metrics with their last paid touch attribution model, enabling Wantable to confidently make campaign scaling decisions based on Meta Ads Manager reporting.

This collaboration aimed to fine-tune Wantable's marketing strategies, ensuring they attract high-value customers who contribute to long-term growth.

Solution

Wantable enhanced their data-driven marketing efforts by integrating Angler’s technology into their e-commerce operations. They installed the Angler pixel on their website, also enabled the seamless transmission of backend data—including products, orders, line items, and customer information—directly from their data warehouse using Angler’s data API. Additionally, Wantable implemented Angler’s Shopify app for their online store, which allowed Angler to receive near real-time event streams from site visitors, along with hourly updates on transaction and order information.

To further optimize their advertising strategies, Wantable connected Angler to their Meta and Google Ads accounts. This integration empowered Angler to send predicted events and predictive audiences directly to these ad platforms for activation and measurement purposes.

Outcome

Wantable began leveraging Angler’s predictive audiences to optimize their marketing efforts. By conducting A/B tests, their data science team monitored the quality of signups by tracking campaigns through UTM-based tracking. Building on this success, Wantable implemented Angler’s predictive CAPI solutions to send high-value events, optimizing all their campaigns with Angler’s predictive data.

The results were impressive:

  • Cost Efficiency: The A/B test revealed a 20% improvement in the cost per new paid customer.
  • Enhanced Retention: Customers acquired through Angler’s predictive audiences showed, on average, a 7% higher repeat purchase and retention rate.
  • Improved Attribution: Angler’s predictive CAPI, fine-tuned for last paid attribution, increased visibility of previously unattributed conversions by 15-20% in their click-based attribution system.

This enhanced visibility gave Wantable’s data science and marketing teams greater confidence in Meta Ads Manager reporting, empowering them to make more informed campaign decisions.

Our marketing and data science teams have partnered with Angler AI since June 2022. Their AI-driven approach, combined with our data and expertise, has not only helped us reach new customers more effectively but also improved our acquisition costs for some cohorts by 20%. Their pixel has proven successful, allowing us to identify 15-20% more orders that were previously going unattributed, providing us with new levels of visibility. We’re starting to see strong results in customer retention, with some cohorts achieving higher repeat purchase and retention rates—approximately 7% better than earlier cohorts. With predictive LTV on the horizon, we’re excited about how it will help us serve our customers even better while also enhancing customer acquisition and LTV.

Tiffany Cooley

Executive & Chief Marketing Officer at Wantable

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